Building Your First AI Agent with LangChain (Part 1: The Theory)

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Most AI tutorials teach you how to build basic chatbots. This guide covers how to build an AI Agent — a system that reasons, chooses tools, and takes action to complete multi-step tasks.

While a standard LLM generates text, an AI Agent adds an action layer around the model to execute tasks dynamically.

1. Traditional LLMs vs. Autonomous Agents #

The difference comes down to control and execution:

Instead of relying on a human to manage each step of a workflow, an autonomous agent evaluates its current state and determines what to do next until its goal is met.

2. The Core Building Blocks of a Single Agent #

A single-agent architecture relies on three core components: